39 documents found, page 1 of 4

Synthetic data generation using machine learning algorithms for enhanced Type 2...

Strict privacy regulations in healthcare limit access to patient data for research and predictive modeling. To address this, the study explores synthetic data as a privacy-preserving alternative that also enhances dataset size and diversity. Using machine learning-based generative models, Generative Adversarial Networks (GANs) and Autoencoders (AEs) the researchers created synthetic tabular data to improve type...

A Virtual Reality Game-Based Approach for Shoulder Rehabilitation

In recent years, with widespread access to virtual reality (VR) headsets, VR has become an affordable supplement to physiotherapy. Researchers explore the use of existing commercial games or develop new ones to enhance physiotherapy sessions, finding that gamers exhibit reduced nervousness, report less pain, and experience increased enjoyment. However, ensuring consistent exercise adherence poses a challenge. A...

A Platform Toy for Children with Special Educational Needs

In childhood, play is critical to the successful development of children, and it can be regarded as the most important activity in their daily life, allowing interaction and discovery of the world around them. Consequently, it is important to ensure that this birthright is protected and accessible to every child, including those with special needs. Professionals, such as therapists, are often in a position wher...

Virtual Interface With Kinect 3D Sensor for Interaction With Bedridden People: ...

The human-machine interaction has evolved significantly in the last years, allowing a new range of opportunities for developing solutions for people with physical limitations. Natural user interfaces (NUI) allow bedridden and/or physically disabled people to perform a set of actions through gestures thus increasing their quality of life and autonomy. This paper presents a solution based on image processing and ...

A review in the use of artificial intelligence in textile industry

This paper presents an analysis of the state of the art of artificial intelligence applications in the textile industry. A review of the existing literature was performed. This article presents three methods of analyzing textile yarn. Some techniques, used in textile fabric inspection, are presented throughout this paper, as well as the use of artificial intelligence on improving the performance of productive s...

Contribution of biomedical devices innovation to sustainable development goals ...

Millions of blood analysis tests are performed every day worldwide in order to provide blood diagnostic services for the patients. To date diagnostic devices at the market use measuring techniques developed since the last century to analyze blood samples, these techniques face multiple challenges like the need for releasing the results precisely and fast, high availability, potential toxic impact on humans and ...

Real-time evaluation system for top Taekwondo athletes: project overview

Assessing athletes' performance is a constant challenge for coaches, whatever the sport is. In some sports there are no technological solutions to assist coaches in this task. This is the case of Taekwondo, where currently the methods used are mainly manual. Following this trend, this article presents the work developed in a PhD project whose main objective is the development of a friendly and low-cost system f...

Classification of Taekwondo techniques using deep learning methods: first insights

Research in motion analysis area has enabled the development of affordable and easy to access technological solutions. The study presented aims to identify and quantify the movements performed by a taekwondo athlete during training sessions using deep learning techniques applied to the data collected in real time. For this purpose, several approaches and methodologies were tested along with a dataset previously...

Handgrip strength percentiles for Portuguese older adults use and validity for ...

Physioland – A serious game for physical rehabilitation of patients with neurol...

Objective: Being aware that serious games can be an interesting and appealing tool, the objective of this paper is to present the Physioland, a serious game based on image processing techniques, developed to monitor the physical therapy practice of patients with reduced mobility as a consequence of neurological disease. Materials and Methods: Several tests were performed in a clinical environment. The system st...